Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clayton County, IA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clayton County, IA
Series ID MHICILBIA19043A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:54 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 20182
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23802
1994-01-01 .
1995-01-01 24962
1996-01-01 .
1997-01-01 28487
1998-01-01 29579
1999-01-01 31649
2000-01-01 33022
2001-01-01 32984
2002-01-01 33073
2003-01-01 34084
2004-01-01 36174
2005-01-01 37608
2006-01-01 36917
2007-01-01 37575
2008-01-01 43851
2009-01-01 39797
2010-01-01 38908
2011-01-01 40725
2012-01-01 40281
2013-01-01 45322
2014-01-01 45596
2015-01-01 43883
2016-01-01 49827
2017-01-01 50089
2018-01-01 48693
2019-01-01 49394
2020-01-01 48396
2021-01-01 52109
2022-01-01 57764

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